AI for research & evidence

Large samples are not useful if the evidence arrives too slowly to change the decision.

Research teams need scale without giving up structure, consent, quality control or the ability to understand why people answered the way they did. Mikaka helps organizations run conversational research workflows and turn completed interactions into analysis-ready evidence.

The opportunity is not “AI replacing researchers.” It is giving researchers a faster fieldwork and evidence layer while keeping methodology, supervision and interpretation in human hands.

What slows research down

Fieldwork is expensive

Large samples require significant interviewer coordination, follow-up and quality assurance.

Non-response hides useful information

Teams track completion rates but often lose the reasons people decline, postpone or fail to complete.

Insights arrive after the moment

By the time transcripts, coding and summaries are ready, the operational or program decision may already have moved.

What Mikaka can support across a study

Structured voice interviews: deliver approved questions and capture responses consistently at scale.

Eligibility and consent: include screening, consent language and workflow branching before continuing.

Follow-up logic: retry unreachable respondents within study rules and track refusal, postponement and non-response reasons.

Multilingual fieldwork: design audience-specific language workflows for African markets.

Human quality review: route unusual, sensitive or low-confidence interactions for researcher inspection.

Respondent intelligence: organize question-level responses, themes, segments, completion patterns and emerging issues.

Research should move from transcripts to decisions faster.

Mikaka is most valuable when the objective is clear: what decision is this study meant to inform? The platform can then structure interactions around that question and make patterns visible while fieldwork is still happening — giving research leaders a live view of where evidence is converging, where quality needs attention and which segments require deeper investigation.

Customer Intelligence for Research →Omnichannel Customer Intelligence →

Questions research teams ask

Can Mikaka replace research methodology?

No. Research design, sampling, ethics, interpretation and quality standards remain the responsibility of the study team. Mikaka supports execution and evidence structuring.

Can researchers review completed interviews?

Yes. Workflows can preserve interaction records and structured outputs for quality review and analysis according to the study design.

Can we run large respondent samples?

Yes. Deployment capacity, calling windows, concurrency, retry rules and review workflows can be sized around the study population and fieldwork deadline.